This is the first entry in an insideAI News series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the changing data ...

In this data-intensive era, traditional architectures fall short given the explosive growth: 90% of data has emerged in the past two years, with daily contributions of 328 million terabytes. As AI, ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...